Suppr超能文献

针对 SARS-CoV-2 主蛋白酶的天然潜在抑制剂的多阶段计算机研究。

A Multistage In Silico Study of Natural Potential Inhibitors Targeting SARS-CoV-2 Main Protease.

机构信息

Department of Pharmaceutical Sciences, College of Pharmacy, AlMaarefa University, Riyadh 13713, Saudi Arabia.

Pharmaceutical Medicinal Chemistry & Drug Design Department, Faculty of Pharmacy (Boys), Al-Azhar University, Cairo 11884, Egypt.

出版信息

Int J Mol Sci. 2022 Jul 29;23(15):8407. doi: 10.3390/ijms23158407.

Abstract

Among a group of 310 natural antiviral natural metabolites, our team identified three compounds as the most potent natural inhibitors against the SARS-CoV-2 main protease (PDB ID: 5R84), M. The identified compounds are sattazolin and caprolactin A and B. A validated multistage in silico study was conducted using several techniques. First, the molecular structures of the selected metabolites were compared with that of , the co-crystallized ligand of M, in a structural similarity study. The aim of this study was to determine the thirty most similar metabolites (10%) that may bind to the M similar to . Then, molecular docking against M and pharmacophore studies led to the choice of five metabolites that exhibited good binding modes against the M and good fit values against the generated pharmacophore model. Among them, three metabolites were chosen according to ADMET studies. The most promising M inhibitor was determined by toxicity and DFT studies to be caprolactin A (). Finally, molecular dynamics (MD) simulation studies were performed for caprolactin A to confirm the obtained results and understand the thermodynamic characteristics of the binding. It is hoped that the accomplished results could represent a positive step in the battle against COVID-19 through further in vitro and in vivo studies on the selected compounds.

摘要

在 310 种天然抗病毒天然代谢物中,我们的团队鉴定出三种化合物是针对 SARS-CoV-2 主蛋白酶(PDB ID:5R84)的最有效天然抑制剂。鉴定出的化合物是 sattazolin 和 caprolactin A 和 B。使用多种技术进行了经过验证的多阶段计算机研究。首先,在结构相似性研究中,将选定代谢物的分子结构与 M 的共结晶配体进行比较。这项研究的目的是确定最相似的 30 种代谢物(10%),这些代谢物可能与 M 结合,类似于 。然后,对 M 的分子对接和药效团研究导致选择了五种对 M 表现出良好结合模式且对生成的药效团模型具有良好拟合值的代谢物。其中,根据 ADMET 研究选择了三种代谢物。通过毒性和 DFT 研究,确定最有前途的 M 抑制剂是 caprolactin A()。最后,对 caprolactin A 进行分子动力学(MD)模拟研究,以确认获得的结果并了解结合的热力学特性。希望通过对选定化合物进行进一步的体外和体内研究,完成的结果可以在抗击 COVID-19 的斗争中迈出积极的一步。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb92/9369012/d60895c1882e/ijms-23-08407-sch001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验